The document presents a screen time analysis performed by a team, focusing on user app and website usage metrics. It details the objectives, dataset characteristics, and the analytical methodology using Python, highlighting the relationship between notifications and screen time. The findings reveal a linear correlation indicating that more notifications lead to increased smartphone usage.

1. SCREEN TIME
ANALYSIS
Presented by -
Team Data Miners
Amit Awasthi (2000520100011)
Arpit Katiyar (2000520100024)
Gautam Chhajyan (2000520100034)

2. Contents
Introduction
Objective
Data Set
Importing Libraries
Preprocessing Data
Implementation
Summary
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3. 1.
Introduction
Screen Time Analysis is the task of analyzing and
creating a report on which applications and
websites are used by the user for how much time.
Screen time analysis gives a visual report of the
same.
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4. 2.
Objective
To study and understand the data set of screen time
of a user and apply data analysis techniques to find
some relation determining the screen time.
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5. 3.
Data Set
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6. Data set contains information about -
• Date
• Usage of Applications
• Number of Notifications from Applications
• Number of times apps opened
• Applications taken into consideration
- Instagram
- Whatsapp
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Link to the whole data set –
https://www.kaggle.com/datasets/ruchi798/analyzing-screen-time

7. A Glimpse of data set is shown below -
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8. 4.
Importing Libraries
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9. Let’s start the task of screen time analysis by importing the
necessary Python libraries and the dataset
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10. 5.
Preprocessing of
Data
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11. Now let’s have a look if the dataset has any null values or not:
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The dataset doesn’t have any null values.

12. Now let’s have a look at the descriptive statistics of the data:

13. 6.
Implementation
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14. Now let’s start with analyzing the screen time of the user. We will first look at
the amount of usage of the apps:
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16. Now let’s have a look at the number of notifications from the apps:
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18. Now let’s have a look at the number of times the apps opened:
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20. We generally use our smartphones when we get notified by any app.
So let’s have a look at the relationship between the number of
notifications and the amount of usage:
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There’s a linear relationship between the number of notifications and the amount of usage.
It means that more notifications result in more use of smartphones.

22. 7.
Summary
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23. So this is how we can analyze the screen time
of a user using the Python programming language.
Screen Time Analysis is the task of analyzing and
creating a report on which applications and websites
are used by the user for how much time.
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Summary :

24. Thank You!
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